Algebra for Complex Analysis of Data

D 2020

Algebra for Complex Analysis of Data

PESCHEL, Jakub, Michal BATKO a Pavel ZEZULA

Základní údaje

Originální název

Algebra for Complex Analysis of Data

Autoři

PESCHEL, Jakub (203 Česká republika, garant, domácí), Michal BATKO (203 Česká republika) a Pavel ZEZULA (203 Česká republika)

Vydání

Cham, International Conference on Database and Expert Systems Applications, od s. 177-187, 11 s. 2020

Nakladatel

Springer International Publishing

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Švýcarsko

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Odkazy

URL

Impakt faktor

Impact factor: 0.402 v roce 2005

Kód RIV

RIV/00216224:14330/20:00114351

Organizační jednotka

Fakulta informatiky

ISBN

978-3-030-59002-4

ISSN

DOI

http://dx.doi.org/10.1007/978-3-030-59003-1_12

UT WoS

000716713200012

Klíčová slova anglicky

data analysis; analytical algebra; similarity; pattern mining

Štítky

core_B, DISA, firank_B

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 29. 4. 2021 12:29, RNDr. Pavel Šmerk, Ph.D.

Anotace

V originále

In data science, the process of development focuses on the improvement of methods for individual data analytical tasks. However, their combination is not properly researched. We believe that this situation is caused by a missing framework, that would focus solely on data analytical tasks, instead of complicated transformation between individual methods. In this paper, a new analytical algebra is defined. This algebra is based on a flat structure of transaction file and operations over it. As a part of the paper, definitions of several data analytical tasks are proposed. Algebra is recursive and extendable. As an example of usability of the algebra, one complex analytical task created by a combination of analytical operators is described.

Návaznosti

GA19-02033S, projekt VaV

Název: Vyhledávání, analytika a anotace datových toků lidských pohybů

Investor: Grantová agentura ČR, Searching, Mining, and Annotating Human Motion Streams

Citovat

PESCHEL, Jakub, Michal BATKO a Pavel ZEZULA. Algebra for Complex Analysis of Data. Online. In Hartmann S., Küng J., Kotsis G., Tjoa A.M., Khalil I. International Conference on Database and Expert Systems Applications. Cham: Springer International Publishing, 2020, s. 177-187. ISBN 978-3-030-59002-4. Dostupné z: https://dx.doi.org/10.1007/978-3-030-59003-1_12.

@inproceedings{1683761,
   author = {Peschel, Jakub and Batko, Michal and Zezula, Pavel},
   address = {Cham},
   booktitle = {International Conference on Database and Expert Systems Applications},
   doi = {http://dx.doi.org/10.1007/978-3-030-59003-1_12},
   editor = {Hartmann S., Küng J., Kotsis G., Tjoa A.M., Khalil I.},
   keywords = {data analysis; analytical algebra; similarity; pattern mining},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {Cham},
   isbn = {978-3-030-59002-4},
   pages = {177-187},
   publisher = {Springer International Publishing},
   title = {Algebra for Complex Analysis of Data},
   url = {https://link.springer.com/chapter/10.1007/978-3-030-59003-1_12#citeas},
   year = {2020}
}

TY  - JOUR
ID  - 1683761
AU  - Peschel, Jakub - Batko, Michal - Zezula, Pavel
PY  - 2020
TI  - Algebra for Complex Analysis of Data
PB  - Springer International Publishing
CY  - Cham
SN  - 9783030590024
KW  - data analysis
KW  - analytical algebra
KW  - similarity
KW  - pattern mining
UR  - https://link.springer.com/chapter/10.1007/978-3-030-59003-1_12#citeas
N2  - In data science, the process of development focuses on the improvement of methods for individual data analytical tasks. However, their combination is not properly researched. We believe that this situation is caused by a missing framework, that would focus solely on data analytical tasks, instead of complicated transformation between individual methods. In this paper, a new analytical algebra is defined. This algebra is based on a flat structure of transaction file and operations over it. As a part of the paper, definitions of several data analytical tasks are proposed. Algebra is recursive and extendable. As an example of usability of the algebra, one complex analytical task created by a combination of analytical operators is described.
ER  -

PESCHEL, Jakub, Michal BATKO a Pavel ZEZULA. Algebra for Complex Analysis of Data. Online. In Hartmann S., Küng J., Kotsis G., Tjoa A.M., Khalil I. \textit{International Conference on Database and Expert Systems Applications}. Cham: Springer International Publishing, 2020, s.~177-187. ISBN~978-3-030-59002-4. Dostupné z: https://dx.doi.org/10.1007/978-3-030-59003-1\_{}12.

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